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PODCAST

Embedded AI - Intelligence at the Deep Edge

“Intelligence at the Deep Edge” is a podcast exploring the fascinating intersection of embedded systems and artificial intelligence. Dive into the world of cutting-edge technology as we discuss how AI is revolutionizing edge devices, enabling smarter sensors, efficient machine learning models, and real-time decision-making at the edge.Discover more on Embedded AI (https://medium.com/embedded-ai) — our companion publication where we detail the ideas, projects, and breakthroughs featured on the

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All Episodes

14:58

Google Stitch AI UI/UX Design - What is it good for?

Embedded AI - Intelligence at the Deep Edge ·

2025/05/26

Send us a text In this episode, we explore Google Stitch, an experimental AI tool powered by Gemini models that’s aiming to reshape how user interfaces are conceived and built. Stitch lets users generate UI layouts and front-end code from simple text or image prompts, acting as a rapid prototyping engine to bridge the gap between design ideas and functional code. We discuss how the tool accelerates early-stage ideation and integrates with platforms like Figma, making it valuable for streamli...

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15:11

Life after AI: The Future of Work

Embedded AI - Intelligence at the Deep Edge ·

2025/05/19

Send us a text In this episode, we explore how artificial intelligence is set to reshape the job market over the coming decade, from 2025 to 2035. We unpack the dual forces at play—automation that may displace certain roles, and the simultaneous creation of new opportunities driven by AI innovation. Rather than a net loss, the data points toward a shift: a changing landscape where skills, not jobs, are the currency of the future. We discuss the growing demand for a hybrid skillset that includ...

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25:08

How is AI Reshaping Search?

Embedded AI - Intelligence at the Deep Edge ·

2025/05/12

Send us a text In this episode, we explore how AI is fundamentally transforming search, moving beyond traditional keyword-based results to conversational, synthesized answers powered by generative models. We unpack the rapid adoption of features like AI Overviews and the rise of AI chatbots as preferred tools for information retrieval, reflecting a major shift in user behavior. But this transformation isn’t without consequences. We discuss the double-edged sword of personalization, the risks ...

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24:44

AI Reshaping Modern Warfare

Embedded AI - Intelligence at the Deep Edge ·

2025/05/08

Send us a text In this episode, we explore how Artificial Intelligence is transforming the face of modern warfare, from battlefield tactics to global strategy. We dive into the current military applications of AI across intelligence gathering, autonomous drones and robots, logistics, cybersecurity, and command and control systems. We also examine how leading powers—including the U.S., China, and Russia—and alliances like NATO are investing heavily in military AI, ushering in a new era of asym...

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30:00

Sensor Machine Learning

Embedded AI - Intelligence at the Deep Edge ·

2025/05/05

Send us a text This podcast explores the rise of Sensor Machine Learning (Sensor ML) as a powerful evolution in embedded system design. Traditional sensor fusion methods like Kalman filters often fall short when faced with non-linear, noisy, or dynamic data. Sensor ML offers a modern alternative by applying machine learning algorithms directly to sensor streams, enabling more accurate pattern recognition, decision-making, and context awareness. Through real-world examples in autonomous vehicl...

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70:17

Is it time to invest in AI as a business in Australia?

Embedded AI - Intelligence at the Deep Edge ·

2025/04/29

Send us a text In this episode, we explore why 2025 marks a crucial turning point for AI adoption in Australian service industries. We dive into the immense opportunities AI presents, from boosting operational efficiency to enhancing customer experiences and strengthening market positioning. But we also unpack the real-world challenges—ranging from financial costs and technological growing pains to data management complexities, talent shortages, and organizational resistance. Rather than rush...

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24:08

LLMs as Assistants - the ultimate guide!

Embedded AI - Intelligence at the Deep Edge ·

2025/04/12

Send us a text In this episode, we look at the role of large language models (LLMs) as modern-day “artificial interns”, exploring how these systems are transforming the way we work. From content generation and coding help to customer service and knowledge retrieval, we examine how LLMs are used across augmented, transactional, and autonomous tasks. We discuss a unique comparison: using LLMs for problem-solving in the same way developers use rubber duck debugging—talking through issues to arri...

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22:21

Blockchain and AI Convergence

Embedded AI - Intelligence at the Deep Edge ·

2025/04/07

Send us a text In this episode, we dive into the fascinating convergence of blockchain and artificial intelligence (AI)—two powerful technologies reshaping the digital landscape. We explore how blockchain brings transparency, trust, and data integrity to AI systems, while AI enhances blockchain networks through automation, prediction, and optimization. You’ll hear about real-world applications across industries like finance, healthcare, and smart infrastructure, along with an overview of pion...

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27:36

AI Bias and Fairness: A Contentious Landscape

Embedded AI - Intelligence at the Deep Edge ·

2025/03/19

Send us a text In this episode, we examine the critical issue of bias in artificial intelligence, exploring how biased AI systems can amplify discrimination and perpetuate societal inequalities. We discuss the sources of AI bias, including prejudiced training data, algorithmic design choices, and human decisions during development. We highlight how biased AI impacts areas like recruitment, criminal justice, healthcare, finance, and social media, potentially deepening existing inequalities and...

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19:55

AI Agents / Agentic AI: The next generation of AI?

Embedded AI - Intelligence at the Deep Edge ·

2025/03/10

Send us a text In this podcast episode, we investigate AI agents—autonomous systems that sense their environments, make independent decisions, and carry out tasks. We discuss their various types, architectures, and capabilities, highlighting their limitations and ethical implications. Special attention is given to the rise of Agentic Workflows and Data Synthesis, driven by challenges around accuracy in current AI systems. The episode also explores practical advice on building effective agents...

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14:58

LLMs - Fancy Autocorrect or can they actually Reason?

Embedded AI - Intelligence at the Deep Edge ·

2025/03/05

Send us a text In this episode, we discuss the limitations of Large Language Models (LLMs) in areas like deductive reasoning, analogy-making, and ethical judgment. While today’s AI models excel at recognizing statistical patterns in vast datasets, they lack genuine understanding or an internal model of the world. Researchers are tackling these challenges through innovations such as causal AI, inference-time computing, and neuro-symbolic approaches, all aimed at enabling AI to move beyond mere...

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11:49

AI Errors vs. Human Mistakes: Rethinking Security

Embedded AI - Intelligence at the Deep Edge ·

2025/02/19

Send us a text In this episode, we explore the unique nature of AI mistakes and why they differ fundamentally from human errors. Unlike people, AI systems make random, inconsistent, and unpredictable errors, often without awareness of their own limitations. This unpredictability challenges traditional security approaches, requiring new frameworks for AI reliability and risk management. The discussion delves into two potential solutions: engineering AI to make more human-like mistakes and crea...

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19:33

Apple’s AI Gamble in China: The Qwen Partnership

Embedded AI - Intelligence at the Deep Edge ·

2025/02/19

Send us a text In this episode, we explore Apple’s strategic partnership with Alibaba, integrating the Qwen AI model into iPhones sold in China. Faced with regulatory barriers and declining sales, Apple turns to Alibaba’s powerful large language model (LLM) to bring advanced AI features to its Chinese users while ensuring compliance with local laws. We break down the implications of this move—how it strengthens Apple’s foothold in China, boosts Alibaba’s AI credibility, and reflects the broad...

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15:35

AI Music Production: Generative AI, MIDI Controllers,...

Embedded AI - Intelligence at the Deep Edge ·

2025/02/09

Send us a text In this episode, we investigate the world of AI-generated music, exploring how cutting-edge AI techniques—such as transformers, GANs, and VAEs—are revolutionizing music creation. We also take a look at traditional non-AI methods like arpeggiators and Markov chains, which continue to shape algorithmic composition. Beyond the software, we discuss an innovative MIDI controller design tailored for AI-driven music production, featuring controls specifically optimized for manipulati...

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21:47

AI's Hard Takeoff: AGI in 1-6 Years?

Embedded AI - Intelligence at the Deep Edge ·

2025/02/02

Send us a text In this episode, we explore the concept of AI hard takeoff—the moment when artificial intelligence rapidly surpasses human intelligence, triggering an unstoppable acceleration in its capabilities. We break down the difference between a hard takeoff and a soft takeoff, weighing the potential risks and benefits of AI evolving beyond human control. We also examine recent breakthroughs in AI, uncovering evidence that suggests we may be closer than ever to Artificial General Intelli...

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15:51

DeepSeek: A Budget-Friendly solution or the end of...

Embedded AI - Intelligence at the Deep Edge ·

2025/02/02

Send us a text In this episode, we investigate DeepSeek AI, the cost-effective yet high-performing Chinese AI model that is making waves in the industry. We compare its capabilities to leading American models like OpenAI’s, uncovering how DeepSeek achieves impressive reasoning and coding performance at a fraction of the training cost. We break down the innovative techniques behind its success, including the Mixture-of-Experts architecture and Multi-Head Latent Attention mechanism, which ...

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21:42

Image Recognition EDA Guide

Embedded AI - Intelligence at the Deep Edge ·

2025/01/24

Send us a textThis episode talks about the essentials of exploratory data analysis (EDA) for image recognition. We discuss key techniques—descriptive, diagnostic, and predictive EDA—and outline recommended steps such as image visualization, statistical analysis, anomaly removal, and feature engineering, along with ethical considerations in the process.We also explore how EDA enhances model accuracy, focusing on the person detection model MCUNet-VWW2 and the Wake Vision dataset. Learn how labe...

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35:05

Deep Learning Frameworks in 2025: A Review

Embedded AI - Intelligence at the Deep Edge ·

2025/01/18

Send us a textIn this episode, we investigate the state of deep learning frameworks in 2025. We review the leading contenders—TensorFlow, PyTorch, JAX, MXNet, and LightningAI—analyzing their strengths, latest features, performance benchmarks, and the size of their user communities.We also explore key trends shaping the field, including the sustained dominance of established frameworks and the growing popularity of specialized options like LightningAI, known for its focus on performance, scala...

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10:04

Capsule Networks: A new type of AI?

Embedded AI - Intelligence at the Deep Edge ·

2025/01/15

Send us a textIn this episode, we explore capsule networks (CapsNets), an innovative advancement in artificial neural networks designed to overcome the limitations of traditional convolutional neural networks (CNNs). CapsNets introduce “capsules,” groups of neurons that encode richer information about features, such as their position and orientation, enabling a deeper understanding of spatial hierarchies.We break down the concept of dynamic routing, a key mechanism that intelligently connects...

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17:40

Artificial Consciousness: The Missing Pieces

Embedded AI - Intelligence at the Deep Edge ·

2025/01/13

Send us a textIn this episode, we explore the fascinating and complex concept of artificial consciousness (AC). We dive into its definition, the current state of research, and the philosophical and ethical questions surrounding the creation of conscious machines. The discussion highlights the immense challenges in replicating subjective experience and measuring consciousness in artificial systems, while also examining diverse perspectives on whether AC is possible—or even desirable.We analyze...

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